Jupyterhub with Ubuntu 14.04 小記

另外一篇 jupyterhub 安裝 with Ubuntu 14.04

~ 希望還有時間寫一篇  jupyterhub with openSUSE ^^

OS: Ubuntu 14.04 in GENI

jupyter 官方網頁 https://jupyter.org/

jupyterhub 文件 https://github.com/jupyter/jupyterhub/blob/master/docs/getting-started.md

jupyter 是給單人用的, 如果要多人同時使用, 就要使用 jupyterhub

Jupyterhub requires Python  >= 3

檢查 python 版本

$ whereis -b python

python: /usr/bin/python2.7 /usr/bin/python3.4m /usr/bin/python /usr/bin/python3.4 /etc/python2.7 /etc/python /etc/python3.4 /usr/lib/python2.7 /usr/lib/python3.4 /usr/bin/X11/python2.7 /usr/bin/X11/python3.4m /usr/bin/X11/python /usr/bin/X11/python3.4 /usr/local/lib/python2.7 /usr/local/lib/python3.4 /usr/share/python

安裝 jupyterhub 在現有 python 環境底下是使用 pip3 來安裝

預設沒有安裝

$ which   pip

$ dpkg  -l  | grep -i  pip

ii  libpipeline1:amd64                  1.3.0-1                             amd64        pipeline manipulation library

安裝 python-pip 以及 python3-pip 套件

$ sudo  apt-get  update

$ sudo  apt-get  -y  install  python-pip  python3-pip

Reading package lists... Done

Building dependency tree       

Reading state information... Done

The following extra packages will be installed:

 python-colorama python-distlib python-html5lib python-pkg-resources

 python-setuptools python-wheel

Suggested packages:

 python-genshi python-lxml python-distribute python-distribute-doc

Recommended packages:

 python-dev-all

The following NEW packages will be installed:

 python-colorama python-distlib python-html5lib python-pip

 python-pkg-resources python-setuptools python-wheel

0 upgraded, 7 newly installed, 0 to remove and 86 not upgraded.

Need to get 650 kB of archives.

After this operation, 2,932 kB of additional disk space will be used.

Do you want to continue? [Y/n]  Y

觀察套件資訊

$ dpkg   -l   |  grep -i  pip

ii  libpipeline1:amd64                  1.3.0-1                             amd64        pipeline manipulation library

ii  python-pip                          1.5.4-1ubuntu3                      all          alternative Python package installer

ii  python-pip-whl                      1.5.4-1ubuntu3                      all          alternative Python package installer

ii  python3-pip                         1.5.4-1ubuntu3                      all          alternative Python package installer - Python 3

$ which   pip3

/usr/bin/pip3

要裝 python3-dev 與 python-dev 以及 libzmq3-dev 不然會有 Python.h 的錯誤訊息

$ sudo  apt-get  -y install  python3-dev  python-dev libzmq3-dev

Reading package lists... Done

Building dependency tree       

Reading state information... Done

The following extra packages will be installed:

 libexpat1 libexpat1-dev libpython3-dev libpython3.4 libpython3.4-dev

 libpython3.4-minimal libpython3.4-stdlib python3.4 python3.4-dev

 python3.4-minimal

Suggested packages:

 python3.4-doc binfmt-support

The following NEW packages will be installed:

 libexpat1-dev libpython3-dev libpython3.4-dev python3-dev python3.4-dev

The following packages will be upgraded:

 libexpat1 libpython3.4 libpython3.4-minimal libpython3.4-stdlib python3.4

 python3.4-minimal

6 upgraded, 5 newly installed, 0 to remove and 178 not upgraded.

Need to get 32.8 MB of archives.

After this operation, 42.8 MB of additional disk space will be used.

Do you want to continue? [Y/n]

安裝相關需要套件

$ sudo  apt-get -y  install   npm   nodejs-legacy

$ sudo  npm   install   -g  configurable-http-proxy

透過 pip3 安裝 jupyterhub

$ sudo   pip3   install   jupyterhub

$ sudo   pip3   install   notebook

最後就是 啟動 jupyterhub 了,  預設會在 port 8000 listen

$sudo  jupyterhub

接下來可以使用 系統內的使用者登入

例如可以新增一個 Python 3 的 notebook

可以在裡面撰寫 python 程式並執行它

也可以利用終端機

是個非常方便的工具

然後也有把上面的過程寫成 shell script

如果懶得自己裝就抓下來執行就好

假設已經有個 sudo 授權的使用者

可以利用 wget 指令把 shell script 抓下來

$ wget   https://dl.dropboxusercontent.com/u/12787647/iCAIR/Ubuntu1404_jupyterhub_Install.sh

執行 安裝的 script

$ sh   Ubuntu1404_jupyterhub_Install.sh

~ enjoy it

Jupyterhub with CentOS 7 小記

最近真的覺得 jupyter 還有 jupyterhub 真是不錯的東西

所以就來動手裝一下 jupyterhub

OS: CentOS 7  in Chameleon Cloud

jupyter 官方網頁 https://jupyter.org/

jupyterhub 文件 https://github.com/jupyter/jupyterhub/blob/master/docs/getting-started.md

jupyter 是給單人用的, 如果要多人同時使用, 就要使用 jupyterhub

Jupyterhub requires Python  >= 3

檢查 python 版本

$ whereis  -b python

python: /usr/bin/python2.7 /usr/bin/python /usr/lib/python2.7 /usr/lib64/python2.7 /usr/include/python2.7

$ sudo  yum   search   python3

============================================================== N/S matched: python3 ==============================================================

python-fastcache.x86_64 : C implementation of python3 lru_cache

python3-pkgversion-macros.noarch : Convenience macros for Fedora/EPEL Python 3 packages building

python34.x86_64 : Version 3 of the Python programming language aka Python 3000

python34-debug.x86_64 : Debug version of the Python 3 runtime

$ sudo  yum  -y  install   python34

Resolving Dependencies

--> Running transaction check

---> Package python34.x86_64 0:3.4.3-2.el7 will be installed

--> Processing Dependency: python34-libs(x86-64) = 3.4.3-2.el7 for package: python34-3.4.3-2.el7.x86_64

--> Processing Dependency: libpython3.4m.so.1.0()(64bit) for package: python34-3.4.3-2.el7.x86_64

--> Running transaction check

---> Package python34-libs.x86_64 0:3.4.3-2.el7 will be installed

--> Finished Dependency Resolution

Dependencies Resolved

==================================================================================================================================================

Package                                Arch                            Version                               Repository                     Size

==================================================================================================================================================

Installing:

python34                               x86_64                          3.4.3-2.el7                           epel                           49 k

Installing for dependencies:

python34-libs                          x86_64                          3.4.3-2.el7                           epel                          6.6 M

Transaction Summary

==================================================================================================================================================

Install  1 Package (+1 Dependent package)

Total download size: 6.7 M

Installed size: 27 M

Is this ok [y/d/N]:  Y

檢查 python 版本

$ whereis  -b  python

python: /usr/bin/python2.7 /usr/bin/python /usr/bin/python3.4 /usr/bin/python3.4m /usr/lib/python2.7 /usr/lib/python3.4 /usr/lib64/python2.7 /usr/lib64/python3.4 /usr/include/python2.7 /usr/include/python3.4m

安裝 jupyterhub 需要的相關套件

$ sudo  yum  -y  install   zlib-devel   bzip2-devel   openssl-devel   ncurses-devel   sqlite-devel readline-devel   tk-devel   gdbm-devel   db4-devel   libpcap-devel   xz-devel  npm

利用 npm 指令 安裝 http proxy

$ sudo  npm  install   -g   configurable-http-proxy

安裝  wget 指令

$ sudo  yum   -y   install   wget

取得 get-pip.py 來安裝 pip3

$ wget   https://bootstrap.pypa.io/get-pip.py

安裝 pip3 指令

$ sudo  python3.4   get-pip.py

安裝 python 以及 python3 開發套件

$ sudo yum   -y   install   python-devel    python34-devel

透過 pip3 安裝 juypterhub

$ sudo  pip3  install  jupyterhub   ipython[notebook]

最後就是 啟動 jupyterhub 了,  預設會在 port 8000 listen

$sudo  jupyterhub

接下來可以使用 系統內的使用者登入

例如可以新增一個 Python 3 的 notebook

可以在裡面撰寫 python 程式並執行它

也可以利用終端機

是個非常方便的工具

然後也有把上面的過程寫成 shell script

如果懶得自己裝就抓下來執行就好

假設已經有個 sudo 授權的使用者

可以利用 curl 指令把 shell script 抓下來 存成 Install.sh ( 不用這個名字也可以啦 )

$ curl   https://dl.dropboxusercontent.com/u/12787647/iCAIR/CentOS7_jupyterhub_Install.sh  >  Install.sh

執行 安裝的 script

$ sh  Install.sh

~ enjoy it

docker with openSUSE 13.2 小記 - 映像檔管理

docker with openSUSE 13.2 小記 - 映像檔管理

今天持續練習 docker with openSUSE 13.2

昨天有注意到使用者要加入到 docker 的群組, 如果沒有加入到 docker 群組會發生哪些影響呢?

首先觀察群組, 目前沒有被加入 docker 群組

> id

uid=1000(max) gid=100(users) groups=100(users)

嘗試以 max 身份列出 image

> docker   images

Get http:///var/run/docker.sock/v1.19/images/json: dial unix /var/run/docker.sock: permission denied. Are you trying to connect to a TLS-enabled daemon without TLS?

當然是可以用 sudo 來進行啦.... ( 但是你就會被問 root’s password )

> sudo  docker  images

root's password:

REPOSITORY          TAG                 IMAGE ID            CREATED             VIRTUAL SIZE

ubuntu              12.04               57bca5139a13        12 days ago         134.8 MB

opensuse            latest              d6b241b32a2d        5 weeks ago         93.99 MB

還沒加入使用者之前觀察一下 docker 群組

> sudo   grep   docker    /etc/group

docker:x:482:

利用  gpasswd 加入 max 到  docker 群組 ( 下次登入才生效 )

> sudo    gpasswd    -a   max   docker

正在將使用者“max”加入到“docker”群組中

再次觀察 docker 群組

> sudo   grep   docker    /etc/group

docker:x:482:max

登出 shell

>exit

重新登入 shell

> id

uid=1000(max) gid=100(users) groups=100(users),482(docker)

再次執行 docker images 觀察

> docker  images

REPOSITORY          TAG                 IMAGE ID            CREATED             VIRTUAL SIZE

ubuntu              12.04               57bca5139a13        12 days ago         134.8 MB

opensuse            latest              d6b241b32a2d        5 weeks ago         93.99 MB

所以小結就是非 root 使用者要直接使用 docker 指令就要加入 docker 群組 ^^

映像檔管理

練習教材裏面,  提到映像檔管理,  但是有些內容沒有進一步解釋, 所以就上去找了一下官方文件

官方文件 Docker user guide

https://docs.docker.com/userguide/

首先對之前下的指令進行解釋

> sudo   docker   run   --rm   -i   -t   opensuse   /bin/bash

• run 執行 docker
• --rm   Automatically remove the container when it exits
• -i   Keep STDIN open even if not attached
• -t  Allocate a pseudo-TTY

可以使用 >docker  run  --help 來查詢

不過正確來說應該要連同 TAG 一起下才是正確的( 如果沒有指定 TAG, 預設為 latest )

> docker   run   -i   -t   --rm   opensuse:latest   /bin/bash

查詢映像檔

方式 1 上網搜尋

https://hub.docker.com/

例如 搜尋 opensuse

點進想抓的Repositories

這邊可以看到 docker pull 指令還有 Dockerfile 相關資訊

方式 2 使用指令

使用 docker  search 來搜尋

> docker  search  opensuse

NAME                                 DESCRIPTION                                     STARS     OFFICIAL   AUTOMATED

opensuse                             This project contains the stable releases ...   49        [OK]       

hachque/opensuse                     A base openSUSE 13.1 image, built from Sus...   2                    

druonysus/opensuse-base-minion                                                       2                    [OK]

novacoast/opensuse-apache                                                            2                    [OK]

取得映像檔到本機

使用 指令還有 Web 方式的差異是

在 Web 上面, 我們可以看到 images的 TAG, 但是 指令沒有看到

練習取得映像檔

> docker  images

REPOSITORY          TAG                 IMAGE ID            CREATED             VIRTUAL SIZE

ubuntu              12.04               57bca5139a13        13 days ago         134.8 MB

opensuse            latest              d6b241b32a2d        5 weeks ago         93.99 MB

使用  docker  pull 來下載 image

> docker  pull  opensuse:13.2

13.2: Pulling from opensuse

5b8dd08af89b: Already exists

d6b241b32a2d: Already exists

Digest: sha256:b9ebaf54a450bcd400bcafea93b53aa3debcc787df7805a5a7e2d0db3457163f

Status: Downloaded newer image for opensuse:13.2

利用 docker images 來比對, 比對 IMAGE ID 就會知道 latest 與 13.2 是相同的

> docker  images

REPOSITORY          TAG                 IMAGE ID            CREATED             VIRTUAL SIZE

ubuntu              12.04               57bca5139a13        13 days ago         134.8 MB

opensuse            latest              d6b241b32a2d        5 weeks ago         93.99 MB

opensuse            13.2                d6b241b32a2d        5 weeks ago         93.99 MB

接下來的練習配合 docker 官方文件

建立 docker 映像檔

方式 1 修改現有的映像檔

下載 training/sinatra Repository映像檔 ( 可以注意到下載了所有 TAG 的映像檔, 從 training/sinatra )

> docker   pull   training/sinatra

Pulling repository training/sinatra

f0f4ab557f95: Download complete

511136ea3c5a: Download complete

3e76c0a80540: Download complete

be88c4c27e80: Download complete

bfab314f3b76: Download complete

e809f156dc98: Download complete

ce80548340bb: Download complete

79e6bf39f993: Download complete

Status: Downloaded newer image for training/sinatra:latest

觀察 images

> docker images

REPOSITORY          TAG                 IMAGE ID            CREATED             VIRTUAL SIZE

ubuntu              12.04               57bca5139a13        13 days ago         134.8 MB

opensuse            13.2                d6b241b32a2d        5 weeks ago         93.99 MB

opensuse            latest              d6b241b32a2d        5 weeks ago         93.99 MB

training/sinatra    latest              f0f4ab557f95        15 months ago       447 MB

執行之前先列出目前執行的 Container

docker  ps 可以列出 container

• -a 是列出所有的 container
• 如果沒有加上 -a 則是列出目前有執行指令的 container

> docker  ps

CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES

> docker  ps -a

CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES

執行 docker image 到  container ( 這次不加上 --rm, 也就是說 exit 之後不刪除 )

> docker    run    -i    -t    training/sinatra  /bin/bash

root@6764848c94c4:/#

輸入 exit 離開 container

root@6764848c94c4:/# exit

exit

再次觀察 container

> docker  ps

CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES

> docker  ps  -a

CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS                      PORTS               NAMES

6764848c94c4        training/sinatra    "/bin/bash"         2 minutes ago       Exited (0) 36 seconds ago                       elegant_lalande     

跟上面比對就會發現, 剛剛登入 shell 的時候 root@後面那串就是 container ID

再次執行一個新的 container

> docker  run  -i  -t  training/sinatra  /bin/bash

root@ddc3cdc142f3:/#

這邊就會發現 container ID 是不一樣, 因為是另外一個

我們基於這個來修改成我們的映像檔

安裝 json 套件來作出差異

root@ddc3cdc142f3:/# gem  install json

Fetching: json-1.8.3.gem (100%)

Building native extensions.  This could take a while...

Successfully installed json-1.8.3

1 gem installed

Installing ri documentation for json-1.8.3...

Installing RDoc documentation for json-1.8.3...

離開 container

root@ddc3cdc142f3:/# exit

exit

這樣這個映像檔就跟之前不一樣了

接下來透過 docker  commit 來建立新的

> docker   commit   -m "Add json"  -a "sakana"   ddc3cdc142f3    testrepo/testimage:vTEST

220501802d62b8aca6ed82aad9ea99c2dc9a12d195638b6bdf47f20aa8e92860

• commit   提交一個新的 image
• -m 訊息Commit message
• -a  作者 Author (e.g., "John Hannibal Smith <hannibal@a-team.com>")
• ddc3cdc142f3 是container ID
• testrepo/testimage:vTEST 是 Repository名稱/映像檔名稱:TAG

觀察 images

> docker   images

REPOSITORY           TAG                 IMAGE ID            CREATED             VIRTUAL SIZE

testrepo/testimage   vTEST               220501802d62        5 minutes ago       452.1 MB

ubuntu               12.04               57bca5139a13        13 days ago         134.8 MB

opensuse             13.2                d6b241b32a2d        5 weeks ago         93.99 MB

opensuse             latest              d6b241b32a2d        5 weeks ago         93.99 MB

training/sinatra     latest              f0f4ab557f95        15 months ago       447 MB

這個時候就會知道, 如果我們日後不上傳到 Docker Hub, 其實 Repository名稱是可以自己取的, 沒有影響, 但是如果要上傳, 就是要註冊 Docker Hub的帳號, 符合上面的規則才可以.

嘗試使用剛剛建立的映像檔來執行

> docker  run  -t  -i  testrepo/testimage:vTEST   /bin/bash

root@acfed6e70946:/#

輸入 exit 離開

root@acfed6e70946:/# exit

exit

方式 2 使用 Dockerfile 建立映像檔

我們可以透過 docker  build 配合 Dockerfile 來建立映像檔

首先觀察目前的路徑

> pwd

/home/max

建立目錄

> mkdir  sakana

進入該目錄

> cd   sakana/

建立 Dockerfile

> vi   Dockerfile

# 用於註解

# 後續的流程, 前面都要大寫

# FROM 基於那個 image

FROM ubuntu:14.04

# MAINTAINER 維護作者

MAINTAINER Max Huang < sakana@study-area.org >

# RUN 要執行的指令

RUN apt-get update && apt-get install -y ruby ruby-dev

RUN gem install sinatra

> docker    build    -t    sakanatest/testimage    /home/max/sakana

Sending build context to Docker daemon 2.048 kB

Sending build context to Docker daemon

Step 0 : FROM ubuntu:14.04

14.04: Pulling from ubuntu

d3a1f33e8a5a: Pull complete

c22013c84729: Pull complete

d74508fb6632: Pull complete

91e54dfb1179: Already exists

ubuntu:14.04: The image you are pulling has been verified. Important: image verification is a tech preview feature and should not be relied on to provide security.

Digest: sha256:7a846cdca616c384ac1c5e3a91d0ea22c89a5c456f60d4d60734715c4e2df9ae

Status: Downloaded newer image for ubuntu:14.04

---> 91e54dfb1179

Step 1 : MAINTAINER Max Huang < sakana@study-area.org >

---> Running in b59ea0a80376

---> adbe1f761471

Removing intermediate container b59ea0a80376

Step 2 : RUN apt-get update && apt-get install -y ruby ruby-dev

Removing intermediate container 833999aeaa6a

Successfully built dd38d73f4e20

• -t 是 tag 後面為 repository名稱/image名稱
• 路徑為 Dockerfile 所在目錄, 跟他上層目錄叫啥名字沒有關係....

> docker  images

REPOSITORY             TAG                 IMAGE ID            CREATED             VIRTUAL SIZE

sakanatest/testimage   latest              dd38d73f4e20        2 minutes ago       318.7 MB

testrepo/testimage     vTEST               220501802d62        37 minutes ago      452.1 MB

ubuntu                 14.04               91e54dfb1179        13 days ago         188.3 MB

ubuntu                 12.04               57bca5139a13        13 days ago         134.8 MB

opensuse               13.2                d6b241b32a2d        5 weeks ago         93.99 MB

opensuse               latest              d6b241b32a2d        5 weeks ago         93.99 MB

training/sinatra       latest              f0f4ab557f95        15 months ago       447 MB

可以觀察 image ID

官方文件有提到其他 Dockerfile 的做法( ADD / EXPOSE / CMD ), 但是後面還會提到就先不說

設定映像檔 TAG

可以透過  docker tag 來設定 映像檔的 TAG

> docker  images

REPOSITORY             TAG                 IMAGE ID            CREATED             VIRTUAL SIZE

sakanatest/testimage   latest              dd38d73f4e20        2 minutes ago       318.7 MB

testrepo/testimage     vTEST               220501802d62        37 minutes ago      452.1 MB

ubuntu                 14.04               91e54dfb1179        13 days ago         188.3 MB

ubuntu                 12.04               57bca5139a13        13 days ago         134.8 MB

opensuse               13.2                d6b241b32a2d        5 weeks ago         93.99 MB

opensuse               latest              d6b241b32a2d        5 weeks ago         93.99 MB

training/sinatra       latest              f0f4ab557f95        15 months ago       447 MB

> docker    tag    dd38d73f4e20    sakanatest/testimage:tagTest

> docker  images

REPOSITORY             TAG                 IMAGE ID            CREATED             VIRTUAL SIZE

sakanatest/testimage   latest              dd38d73f4e20        8 minutes ago       318.7 MB

sakanatest/testimage   tagTest             dd38d73f4e20        8 minutes ago       318.7 MB

testrepo/testimage     vTEST               220501802d62        43 minutes ago      452.1 MB

ubuntu                 14.04               91e54dfb1179        13 days ago         188.3 MB

ubuntu                 12.04               57bca5139a13        13 days ago         134.8 MB

opensuse               13.2                d6b241b32a2d        5 weeks ago         93.99 MB

opensuse               latest              d6b241b32a2d        5 weeks ago         93.99 MB

training/sinatra       latest              f0f4ab557f95        15 months ago       447 MB

上傳映像檔到 Docker Hub

由於使用 docker  push 上傳要註冊帳號, 所以就先不做

移除映像檔

如果要移除映像檔, 必須沒有作用中的 container 才可以移除

先觀察 container

> docker    ps     -a

CONTAINER ID        IMAGE                      COMMAND             CREATED             STATUS                         PORTS               NAMES

acfed6e70946        testrepo/testimage:vTEST   "/bin/bash"         About an hour ago   Exited (0) About an hour ago                       furious_pare        

ddc3cdc142f3        training/sinatra           "/bin/bash"         About an hour ago   Exited (0) About an hour ago                       serene_tesla        

6764848c94c4        training/sinatra           "/bin/bash"         About an hour ago   Exited (0) About an hour ago                       elegant_lalande    

觀察映像檔

這邊可以觀察到 sakanatest/testimage 沒有container使用中

testrepo/testimage 以及 trainging/sinatra 有 container 使用中

> docker    images

REPOSITORY             TAG                 IMAGE ID            CREATED             VIRTUAL SIZE

sakanatest/testimage   latest              dd38d73f4e20        About an hour ago   318.7 MB

sakanatest/testimage   tagTest             dd38d73f4e20        About an hour ago   318.7 MB

testrepo/testimage     vTEST               220501802d62        About an hour ago   452.1 MB

ubuntu                 14.04               91e54dfb1179        13 days ago         188.3 MB

ubuntu                 12.04               57bca5139a13        13 days ago         134.8 MB

opensuse               13.2                d6b241b32a2d        5 weeks ago         93.99 MB

opensuse               latest              d6b241b32a2d        5 weeks ago         93.99 MB

training/sinatra       latest              f0f4ab557f95        15 months ago       447 MB

我們可以使用 docker  rmi 來移除 沒有 container 使用中的 image

首先針對沒有 container 運作的  sakanatest/testimage 來刪除

> docker   rmi   sakanatest/testimage:tagTest

Untagged: sakanatest/testimage:tagTest

Deleted: dd38d73f4e2021c81c52530e99eb1cb98f87b9031d50c6342e7d47b8302f78a7

Deleted: b987f587ddb48e0006250cc77835530f605c32647d5cbe0432ea8a5fd3769017

Deleted: adbe1f76147105dc554a86f026dab8fa8b2019892bfb5d10cfe9e3df5bafa9b9

刪除不會有問題, 使用  docker  rmi 刪除所有 sakanatest/testimage 上面 image

接下來嘗試刪除 有 container 執行的 image

> docker  rmi  testrepo/testimage:vTEST

Error response from daemon: Conflict, cannot delete 220501802d62 because the container acfed6e70946 is using it, use -f to force

Error: failed to remove images: [testrepo/testimage:vTEST]

果然是要刪除 container 才能刪除  image

再觀察一次

> docker  ps  -a

CONTAINER ID        IMAGE                      COMMAND             CREATED             STATUS                         PORTS               NAMES

acfed6e70946        testrepo/testimage:vTEST   "/bin/bash"         About an hour ago   Exited (0) About an hour ago                       furious_pare        

ddc3cdc142f3        training/sinatra           "/bin/bash"         About an hour ago   Exited (0) About an hour ago                       serene_tesla        

6764848c94c4        training/sinatra           "/bin/bash"         2 hours ago         Exited (0) 2 hours ago                             elegant_lalande

移除 container 可以使用  docker  rm 指令來完成

> docker    rm    acfed6e70946

acfed6e70946

確認已經刪除

> docker  ps  -a

CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS                   PORTS               NAMES

ddc3cdc142f3        training/sinatra    "/bin/bash"         2 hours ago         Exited (0) 2 hours ago                       serene_tesla        

6764848c94c4        training/sinatra    "/bin/bash"         2 hours ago         Exited (0) 2 hours ago                       elegant_lalande  

刪除 image  testrepo/testimage:vTEST

> docker    rmi    testrepo/testimage:vTEST

Untagged: testrepo/testimage:vTEST

Deleted: 220501802d62b8aca6ed82aad9ea99c2dc9a12d195638b6bdf47f20aa8e92860

接下來剩下一個 image 要刪除, 可是他有 2 個 container 在執行

> docker  ps  -a

CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS                   PORTS               NAMES

ddc3cdc142f3        training/sinatra    "/bin/bash"         2 hours ago         Exited (0) 2 hours ago                       serene_tesla        

6764848c94c4        training/sinatra    "/bin/bash"         2 hours ago         Exited (0) 2 hours ago                       elegant_lalande   

所以就把腦筋動到一次刪除所有的 container

docker  ps 指令加上 -q 只會列出 container ID

> docker  ps  -a  -q

ddc3cdc142f3

6764848c94c4

但是做這件事的時候要三思而後行

> docker  rm  $( docker  ps  -a  -q )

ddc3cdc142f3

6764848c94c4

> docker  ps  -a

CONTAINER ID        IMAGE               COMMAND             CREATED             STATUS              PORTS               NAMES

刪除完練習用 image, 本日收工

> docker    rmi   training/sinatra:latest

Untagged: training/sinatra:latest

Deleted: f0f4ab557f954f3e04177663a3af90e88641bcdcce1f02ac900dbd9768ef4945

Deleted: 79e6bf39f99322cc062a79bec4a09de0dd19cb7f5f735b4b6b7832c04b13bb45

Deleted: ce80548340bb03726d391bb8fa4d134f8418c2fff90be9a7323560debdea9bd2

Deleted: e809f156dc985e07105fdc86ec05eb03eb7aac8636dc210e8595d31b55787f4a

Deleted: bfab314f3b766eddf9778f8dce089f44e84ea028f4a44ce68740dce81a844ec8

Deleted: be88c4c27e80023b6aea82f0f2e15fb21c6f4193fe814e5b58010d356dd7846b

Deleted: 3e76c0a80540a0d36493ae7110796fc92f559a191454e3ac19c1d4c650bdd9e0

Deleted: 511136ea3c5a64f264b78b5433614aec563103b4d4702f3ba7d4d2698e22c158

~ enjoy it